在任意数据包大小的任意到达模型下最小化信息的年龄

IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Performance Evaluation Pub Date : 2023-10-10 DOI:10.1016/j.peva.2023.102373
Kumar Saurav, Rahul Vaze
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引用次数: 0

摘要

我们考虑一个单一的源-目标对,其中信息更新(简而言之,更新)在任意时刻到达源。对于每次更新,其大小,即完成传输到目的地所需的服务时间,也是任意的。在任何时候,源可以选择传输哪个更新,同时产生与传输时间成正比的传输成本。我们考虑信息年龄(AoI)度量,它量化了目的地更新(信息)的过时程度。在任何时候,AoI都等于当前时间与已完全传输(到目的地)的最新更新(在源)到达时间之间的差值。目标是找到一个因果(即在线)调度策略,使AoI和传输成本的总和最小化,其中任何时候可能的决策是(i)是否在新更新到达时抢占正在传输的更新,以及(ii)如果没有更新正在传输,则选择传输哪个更新(在可用更新中)。在本文中,我们提出了一种称为SRPT+的因果策略,该策略每次(i)如果新更新以较小的大小到达(与传输下更新的剩余大小相比),则抢占传输下的更新;(ii)如果没有更新正在传输,则从大小小于阈值(这是传输成本和当前AoI的函数)的可用更新集合中,开始传输更新,在完成传输时(如果将来没有被抢占)AoI减少与剩余大小的比率是最大的。我们使用一个称为竞争比的度量来描述SRPT+的性能,即因果策略的成本与最优离线策略(提前知道整个输入)的成本之比,在所有可能的输入中最大化。结果表明,SRPT+的竞争比不超过5。在不存在传输成本的特殊情况下,我们进一步证明SRPT+的竞争比不超过3。
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Minimizing age of information under arbitrary arrival model with arbitrary packet size

We consider a single source–destination pair, where information updates (in short, updates) arrive at the source at arbitrary time instants. For each update, its size, i.e. the service time required for complete transmission to the destination, is also arbitrary. At any time, the source may choose which update to transmit, while incurring transmission cost that is proportional to the duration of transmission. We consider the age of information (AoI) metric that quantifies the staleness of the update (information) at the destination. At any time, AoI is equal to the difference between the current time, and the arrival time of the latest update (at the source) that has been completely transmitted (to the destination). The goal is to find a causal (i.e. online) scheduling policy that minimizes the sum of the AoI and the transmission cost, where the possible decisions at any time are (i) whether to preempt the update under transmission upon arrival of a new update, and (ii) if no update is under transmission, then choose which update to transmit (among the available updates). In this paper, we propose a causal policy called SRPT+ that at each time, (i) preempts the update under transmission if a new update arrives with a smaller size (compared to the remaining size of the update under transmission), and (ii) if no update is under transmission, then from the set of available updates with size less than a threshold (which is a function of the transmission cost and the current AoI), begins to transmit the update for which the ratio of the reduction in AoI upon complete transmission (if not preempted in future) and the remaining size, is maximum. We characterize the performance of SRPT+ using a metric called the competitive ratio, i.e. the ratio of the cost of causal policy and the cost of an optimal offline policy (that knows the entire input in advance), maximized over all possible inputs. We show that the competitive ratio of SRPT+ is at most 5. In the special case when there is no transmission cost, we further show that the competitive ratio of SRPT+ is at most 3.

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来源期刊
Performance Evaluation
Performance Evaluation 工程技术-计算机:理论方法
CiteScore
3.10
自引率
0.00%
发文量
20
审稿时长
24 days
期刊介绍: Performance Evaluation functions as a leading journal in the area of modeling, measurement, and evaluation of performance aspects of computing and communication systems. As such, it aims to present a balanced and complete view of the entire Performance Evaluation profession. Hence, the journal is interested in papers that focus on one or more of the following dimensions: -Define new performance evaluation tools, including measurement and monitoring tools as well as modeling and analytic techniques -Provide new insights into the performance of computing and communication systems -Introduce new application areas where performance evaluation tools can play an important role and creative new uses for performance evaluation tools. More specifically, common application areas of interest include the performance of: -Resource allocation and control methods and algorithms (e.g. routing and flow control in networks, bandwidth allocation, processor scheduling, memory management) -System architecture, design and implementation -Cognitive radio -VANETs -Social networks and media -Energy efficient ICT -Energy harvesting -Data centers -Data centric networks -System reliability -System tuning and capacity planning -Wireless and sensor networks -Autonomic and self-organizing systems -Embedded systems -Network science
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